Probabilistic load flow methods with high integration of renewable energy sources and electric vehicles - Case study of Greece

Anastasiadis, AG; Voreadi, E; Hatziargyriou, ND

dc.contributor.author	Anastasiadis, AG	en
dc.contributor.author	Voreadi, E	en
dc.contributor.author	Hatziargyriou, ND	en
dc.date.accessioned	2014-03-01T02:47:27Z
dc.date.available	2014-03-01T02:47:27Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33156
dc.subject	Charging strategies of EVs	en
dc.subject	Cornish Fisher	en
dc.subject	Electric Vehicles	en
dc.subject	Gram-Charlier	en
dc.subject	Probabilistic Load Flow Methods	en
dc.subject	Renewable Energy Resources	en
dc.subject.other	Charging strategies	en
dc.subject.other	Cornish Fisher	en
dc.subject.other	Gram-Charlier	en
dc.subject.other	Probabilistic load flow	en
dc.subject.other	Renewable energies	en
dc.subject.other	Electric load distribution	en
dc.subject.other	Electric load flow	en
dc.subject.other	Electric vehicles	en
dc.subject.other	Integration	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Probability density function	en
dc.subject.other	Probability distributions	en
dc.subject.other	Sustainable development	en
dc.subject.other	Renewable energy resources	en
dc.title	Probabilistic load flow methods with high integration of renewable energy sources and electric vehicles - Case study of Greece	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/PTC.2011.6019380	en
heal.identifier.secondary	6019380	en
heal.identifier.secondary	http://dx.doi.org/10.1109/PTC.2011.6019380	en
heal.publicationDate	2011	en
heal.abstract	This paper exams the large distribution power system of Greece with high integration of Renewable Energy Resources (RES) and Electrical Vehicles (EV) using Probabilistic Load Flow (PLF) techniques. These techniques provide Cumulative Density Functions (CDF) of branch power flows, node voltages and active power line losses with large variations of RES and EV integration. When different charging strategies of EV (dump charging, dual tariff policy and mixed charging) take place then lead to significant uncertainty in node injections. In order to tackle this issue, it is adopted and enhanced PLF methods to cope with EV nodal loads. Two methods are investigated for the calculation of Probabilistic Density Function (PDF) of RES' production, Gram - Charlier (G-C) and Cornish Fisher (C-F). All the PLF results are compared with Monte Carlo (MC) method. © 2011 IEEE.	en
heal.journalName	2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011	en
dc.identifier.doi	10.1109/PTC.2011.6019380	en